共 50 条
- [1] Development of novel machine learning model for right ventricular quantification on echocardiography-A multimodality validation study ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES, 2020, 37 (05): : 688 - 697
- [3] Deep Learning for Automatic Strain Quantification in Arrhythmogenic Right Ventricular Cardiomyopathy STATISTICAL ATLASES AND COMPUTATIONAL MODELS OF THE HEART. REGULAR AND CMRXRECON CHALLENGE PAPERS, STACOM 2023, 2024, 14507 : 25 - 34
- [4] An attention-based deep learning method for right ventricular quantification using 2D echocardiography: Feasibility and accuracy ECHOCARDIOGRAPHY-A JOURNAL OF CARDIOVASCULAR ULTRASOUND AND ALLIED TECHNIQUES, 2024, 41 (01):
- [5] Development and validation of a deep learning pipeline to measure pericardial effusion in echocardiography FRONTIERS IN CARDIOVASCULAR MEDICINE, 2023, 10
- [6] Necropsy Validation of a Novel Method for Left Ventricular Mass Quantification in Porcine Transthoracic and Transdiaphragmal Echocardiography FRONTIERS IN CARDIOVASCULAR MEDICINE, 2022, 9